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2010 2nd International Conference on engineering System management and Applications, ICESMA 2010

作者： Gaber, Rami Jarwan, Alya Al. Sharif, Alauddin Beheiry, Salwa El. Masters of Science in Engineering Systems Management College of Engineering American University of Sharjah Sharjah United Arab Emirates Civil Engineering Program Faculty of College of Engineering American University of Sharjah Sharjah United Arab Emirates

ISBN: (纸本)9781424465200

In a fast moving highly competitive business hub;the process of Construction Contracts preparation is usually shortened by resorting to previously prepared forms of agreement templates. Even if due diligence is carried out during the contract preparation stage, it becomes extremely difficult to anticipate for and include every single contingency that may arise from contract misinterpretation resulted from implicit terms. As such, to mitigate being involved in numerous disputes and arbitration cases due to contractual "gaps", all parties bounded by a binding agreement are recommended to be aware of their Implied Obligations and ensure that their implicit duties are accommodated for, as appropriate, within the construction contract. In this study, a survey measuring the gap between perceptions of 13 pre-identified Implied Obligations and actual experiences has been created and collected from 30 people out of 100 surveys sent out that had demonstrated even though most of the Implied Terms pre-identified are generally agreed on as Obligations by most parties involved in a contract, they are;however, rarely experienced most of the time. This indicates the potential of a high number of claim cases arising due to these contractual gaps.

关键词： Surveys

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Determination of panel sizes in designed experiments

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Journal of Interactive Marketing 1992年第4期6卷 17 - 27页

作者： Behram J. Hansotia A vice president at Kestnbaum & Company a management consulting firm specializing in database marketing. Behram has a Masters’ degree in systems engineering and a PhD in management science from the University of Illinois at Urbana-Champaign

This article develops formulas for panel size for designed experiments. Using a simple three‐attribute problem, the author discusses situations for determining panel sizes in the context of the multiple regression and logistic regression formulations. Modeling member net present value and response rate as functions of the attributes of an acquisition program are the two situations considered. The article also has a pedagogical flavor and discusses how the maximum likelihood approach is used in estimating the variance of the partial logistic regression coefficients. Illustrative examples are provided to show the application of the formulas. For marketers, the bottom line result is useful: testing with designed experiments requires far fewer observations than classical tests of hypotheses, where pairwise comparisons are carried out. This is because all the information is used simultaneously to estimate model coefficients. For a non‐technical overview, see the end of the article.

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Implied obligations in Construction Contracts

Implied obligations in Construction Contracts

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International Conference on engineering systems management and Its Applications (ICESMA)

作者： Rami Gaber Alya Al Jarwan Alauddin Sharif Salwa El Beheiry Masters of Science in Engineering Systems Management College of Engineering American University of Sharjah Sharjah UAE Faculty of College of Engineering American University of Sharjah Sharjah UAE

In a fast moving highly competitive business hub; the process of Construction Contracts preparation is usually shortened by resorting to previously prepared forms of agreement templates. Even if due diligence is carried out during the contract preparation stage, it becomes extremely difficult to anticipate for and include every single contingency that may arise from contract misinterpretation resulted from implicit terms. As such, to mitigate being involved in numerous disputes and arbitration cases due to contractual “gaps”, all parties bounded by a binding agreement are recommended to be aware of their Implied Obligations and ensure that their implicit duties are accommodated for, as appropriate, within the construction contract. In this study, a survey measuring the gap between perceptions of 13 pre-identified Implied Obligations and actual experiences has been created and collected from 30 people out of 100 surveys sent out that had demonstrated even though most of the Implied Terms pre-identified are generally agreed on as Obligations by most parties involved in a contract, they are; however, rarely experienced most of the time. This indicates the potential of a high number of claim cases arising due to these contractual gaps.

关键词： Contracts Civil engineering Construction industry systems engineering and theory engineering management Business communication Time measurement Standards development Standardization Writing

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Future Coast Guard Cutter (FCGC)

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NAVAL ENGINEERS JOURNAL 1999年第3期111卷 111-124页

作者： Brougham, WJ Lt. William J. Brougham:is an Engineering Duty officer (ED) in the Navy undergoing advanced studies at the Massachusetts Institute of technology. He has had tours as a submarine line officer as well as a Program Manager's Assistant for Weapons System Safety Test and Evaluation at NAVSEA PMS-350 before transferring into the ED community. Current studies include dual masters degrees in naval construction and engineering and mechnical engineering from MIT as well as a master of science management of technology (MOT) from the Sloan School of Management MIT. He has an MBA finance and investments from The George Washington University (1996) and a BS general engineering/control systems from the University of Illinios-Urbana (1988). He is a member of both the American Society of Naval Engineers and the Society of Naval Architects and Marine Engineers.

The Coast Guard wants to replace their aging cutter fleet. The new construction Deepwater Project would like to integrate their efforts with the DD 21 family of ships but the Coast Guard does not want to wait for the Navy program to mature. This study investigates the engineering feasibility of an alternate near term solution-conversion of the decommissioning Oliver Hazard Perry class frigates into Future Coast Guard Cutters (FCGC). Detailed analyses for combat system selection, propulsion plant and endurance range Limitations, and manning and automation issues form the foundation for new ship arrangements capable of supporting a mixed gender crew. Additional analysis reviews small boat operations, habitability requirements, ship stability structural loading, and a cost estimation technique. The converted Oliver Hazard Perry class frigates were shown to provide a technically feasible interim solution to replace decommissioning Coast Guard cutters while meeting or exceeding the Coast Guard requirements for a conservatively estimated cost of $141M (FY98).

关键词： Naval vessels

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Next generation Fruit Vending Machine using Artificial Intelligence 6

Next generation Fruit Vending Machine using Artificial Intel...

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6th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2022

作者： Sivasubramanian, S. Kalyana Sundaram, N. Padhi, S.N. Uike, Dipesh Uma Maheswari, B. Banupriya, V. New Prince Shri Bhavani College of Engineering and Technology Department of Information Technology Tamil Nadu Chennai600073 India Koneru Lakshmaiah Education Foundation Department of Mechanical Engineering Andhra Pradesh Vaddeswaram522302 India Dr. Ambedkar Institute of Management Studies and Research Masters in Business Administration Maharashtra Nagpur440010 India St. Joseph's College of Engineering Department of Computer Science and Engineering Tamil Nadu Chennai600119 India M. Kumarasamy College of Engineering Department of Computer Science and Business Systems Tamil Nadu Karur639113 India

ISBN: (数字)9781665469418

ISBN: (纸本)9781665469418

An automatic vending machine is designed to supply people with a variety of items, such as snacks, beverages, newspapers, and tickets without any human intervention. According to the money that is deposited into a vending machine as well as the product that has been selected by the user, the machine will determine the item and will distribute it to the user. In the proposed work, the vending machine has been designed to distribute fruits to the user as per their requirement. Classification algorithms have been used to predict the type of fruits required by the user with the help of the input provided by camera. The load cell is used to measure the kilogram or the quantity of the fruits as per the requirement by using some input peripherals like keyboard. The proposed system is also a user interactive based once. Here, there is a display device that has interfaced with the system and the display device will provide information such as the fruit which has been chosen and the quantity of the fruit that the user has entered and also shares the information on the status of the requirements. So, it will be useful for the user to know the process going in the vending machine. The raspberry pi microprocessor has employed here as a processor along the required input and output peripherals like LCD, Keypad, Load cell, camera, and motors. The machine learning algorithm like a support vector machine has been employed to predict the type of fruit as per the requirements of the user. The insertion of intelligence like machine learning algorithms in the vending machine is comparatively providing better performance. The long-term objective is to equip a vending machine solution that is both affordable and efficient, therefore boosting the shopping experience of customers and increasing the need for widespread deployment of intelligence in smart vending machines. © 2022 IEEE.

关键词： Support vector machines

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Recapitalizing the Navy through optimized manning and improved reliability

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NAVAL ENGINEERS JOURNAL 1998年第6期110卷 61-72页

作者： Anderson, DE Malone, TB Baker, CC Mr. David E. Anderson:is a Navel Engineer with the Naval Sea Systems Command where he is currently assigmd to the HumanSystems Integration branch. Mr Anderson has a Bachelor of Science degree an Environmental Engineering from Flurida Technological University and a Master's in Environmental Engiwering from the University of Central Flurida. He currentEy is an HSI manager for a number oflvay R&D and skig acquisition efforts. Dr. Thomas B. Malone:received a Ph.D. in Experimental Psychology from Fordham University in 1964. He is President of Carlow International Incorporated an organization dedicated to human factors research and development with emphasis an mantime systems. He has directed over 350 programs and projects in his 33 year career and is responsible for overall management of all contract programs within the Corporation. He is a Past President of the Human Factors and E r g m i c s Society (HFES) of which he is a Fellow. He is also a Fellow of the Washington Academy of Sciences He was selected as a member of the N A S Space Sciences Technical Advisuiy Committee on Technoloo Requirements for Human Performance on Long Duration Space Missions in 2989 and 90. He was elected as the First Chair of the Systems Development Technical Group of the HFES. Dr Malone is currently managing eflorts to devehp and auto- mate standardized processes for canducting human systems integration (HSI) in the military weapon systems acquisition process and fov developing automated tools to facilitate fledormance of specific steps in the HSI process. Dr Malone also is currently occupied in applying human engineering to the DD 21 and is serving as the Chair ofthe System ManninglHuman Perfomzance Working IPT under the DD 21 ManninglHSI IPT chaired ty PMS 500M. Mr. Clifford Baker:has over 20 years experience in developing and applying human factors technology to complex systems. He holds a masters degree in psychology with a specialization in human factors engineering and he is a Board Certified Human Factors Engineering Profesional

Reduced manning is the process (and the result) of removing human functions from a system while retaining or improving system operability and effectiveness. Reliability and maintainability characterize a system's operability and effectiveness. Reduced manning impacts system reliability by changing the characteristics of (1) human error associated with system operation and maintenance, (2) time to repair failed components, and (3) mean-time-between-failures (MBTF) in a reduced manning environment. Simply reducing manning without compensating for system dependence on human involvement generally has a negative impact on system maintainability. Methods to address this include (1) human-system integration design of maintenance interfaces and (2) design of operations activities that are closely related to device failures. After demonstrating reliable performance through testing and operation, ship commanders can be assured that fewer people can effectively operate and maintain Navy ships and systems.

关键词： Naval vessels

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Investigating Neural Network-Based Deep Learning Strategies for Real-Time Data Analysis in Machine Learning

Investigating Neural Network-Based Deep Learning Strategies ...

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International Conference on Power Energy, Environment and Intelligent Control (PEEIC)

作者： Suchita Walke Mounika Nalluri Lavanya R Aruna Sri Rongali Hrishikesh Bhanudas Vanjari Ritu Computer Engineering pillai collage of Engg and Technology Mumbai University India Masters in Computer Information Systems Murray State University USA ECE Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology India Graduate Doctoral Information Technology/Graduate (Information Technology Emphasis/Information Technology Ph.D.) University of The Cumberlands US E &TC Engineering Dept BVCOE Lavale SPPU Pune Maharashtra India Management Maharishi Markandeshwar(deemed to be university) Ambala Haryana

there are numerous distinct strategies and techniques that fall under the huge class of neural network-primarily based deep gaining knowledge of in device getting to know. those strategies revolve around developing and schooling synthetic neural networks, that are computational models that mimic the capabilities and structure of the human brain, to analyze huge datasets and make predictions or decisions based totally on the *** of the key challenges in actual-time information analysis is being capable of method incoming information fast and efficiently, as well as adapt to converting data styles or sudden occasions. traditional device learning algorithms are frequently restricted in their ability to deal with these demanding situations, that is in which deep gaining knowledge of techniques are available *** getting to know techniques contain education neural networks with a couple of layers, every of which strategies one-of-a-kind aspects of the data. This lets in for greater complex and accurate evaluation of the facts, in addition to the potential to handle larger and more numerous datasets. One famous method in deep studying is known as convolutional neural networks (CNNs). Those networks are specifically properly-suitable for studying visual information, including snap shots, by means of breaking down the data into smaller parts and studying them at one of a kind ranges of abstraction. This permits for the identification of patterns and features in the data which could then be used for category or prediction responsibilities.

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One on one

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Journal of Supply Chain management 1999年第1期35卷 2-3页

作者： Welch, Stephen G. vice president of Materials and Supply Chain Operations for AlliedSignal in Morristown New Jersey since October 1977. He joined the organization in March 1977 as vice president of operations for the Electronics Systems business unit having previously held management positions in operations materials and manufacturing quality at Bausch & Lomb and Xerox. Mr. Ramsey earned his Bachelor of Science degrees in Electrical Engineering and Political Science from the Massachusetts Institute of Technology and his Masters of Business Administration from Harvard Business School.

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Servitization, Coopetition, and Sustainability: An Operations Perspective in Aviation Industry

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Vikalpa 2017年第3期42卷 145 - 152页

作者： Mohita Gangwar Sharma K. N. Singh is Professor in Operations Management at FORE School of Management. She is a recipient of the coveted Chevening Rolls-Royce Science and Innovation Leadership Programme and NTSE Scholarship. She is an electrical engineer from IIT-BHU Varanasi and Masters in International Business from IIFT-New Delhi. She obtained her doctorate from Indian Institute of Management (IIM) Lucknow making seminal contribution in the area of Spare Parts Management. She has worked in the transportation and power industry for 16 years before joining academics. She has published widely internationally in acclaimed journals and case studies. She has been a reviewer for many academic journals. She brings the rich experience of the industry and tough academic rigour to her research. Her current areas of research include service operations operations strategy product service systems humanitarian supply chain and sustainability. E-mail: is presently working as Professor in the Operations Management Area at IIM Lucknow. He has to his credit full professorship of more than twenty-four years’ standing and 40 years of teaching and research experience. Professor Singh holds a Bachelor’s degree in Mechanical Engineering from Patna University and Master’s and Doctoral degrees in Industrial Engineering and Management from IIT-Kanpur and AIT-Bangkok. He has published in and others. Currently he is a member of POMS a life member of SOM a Fellow of the Institution of Engineers (India) a member of the Institute for Operations Research and the Management Sciences (INFORMS) and the Manufacturing & Service Operations Management (M&SOM) society. E-mail:

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Cogas—A New Look for Naval Propulsion

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Naval Engineers Journal 1974年第5期86卷 41-56页

作者： Abbott, Jack W. Baham, Gary J. Head of the Systems Engineering Section Naval Ship Engineering Center. He received his Bachelor of Science degree in Mechanical Engineering from Stanford University in 1960 and was then commissioned in the U.S. Navy serving as Engineering Officer in the USS Braine (DD-630). Upon completion of his active duty assignments he entered industry as a Development Engineer and became involved with marine application of gas turbine and fluid power systems. In 1966 he assumed full responsibility for the installation design and equipment acceptance tests of the gas turbine generator/waste-heat boiler system for the DDH-280 Class Destroyer including all associated controls ducting and silencing equipment. In 1970 he became Manager of the DD-963 Auxiliary Power “Trade-Off” Study which resulted in significant modification to the electric steam and compressed air systems. A registered Professional Mechanical Engineer in the State of California and the holder of several patents he is presently enrolled in the Masters Program at George Washington University in Engineering Administration. He is a member of ASNE and SNAME and currently holds the rank of Lieutenant Commander in the U.S. Naval Reserve. Head of the Mechanical Systems Department Washington D. C. Office of George G. Sharp Inc. He received his BS degree in Engineering from the University of California at Los Angeles. His career started in the design and development of turbomachinery for commercial and marine applications with the Douglas Aircraft Co. He subsequently was employed by the Southern California Edison Co. and later the Turbo-Power and Marine Department of Pratt & Whitney Aircraft in development of power systems for marine and electrical generation applications. At Litton Ship Systems Inc. he participated in development of propulsion power train machinery for the DD-963 and LHA ship programs. He is a member of SNAME a registered Professional Mechanical Engineer in the State of California and is currently completing requirements for a Masters

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